{"id":"W4416847229","doi":"10.21125/iceri.2025.0715","title":"BURNOUT PROFILES OF CANADIAN UNDERGRADUATE STUDENTS USING LATENT PROFILE ANALYSIS","year":2025,"lang":"","type":"article","venue":"ICERI proceedings","topic":"Health and Well-being Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Burnout; Latent class model; Data collection; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001980152,0.0002552572,0.0003963885,0.003473578,0.003746762,0.002261062,0.0008108504,0.000503879,0.002274045],"category_scores_gemma":[0.006553443,0.0002091559,0.0004102468,0.004817697,0.0004100241,0.0004593994,0.001347306,0.0009956942,0.0005359959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01365416,"about_ca_system_score_gemma":0.02953173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9493514,"about_ca_topic_score_gemma":0.9767959,"domain_scores_codex":[0.9990473,0.00009731096,0.00003864437,0.00007601147,0.0002965741,0.0004441995],"domain_scores_gemma":[0.9941035,0.0003343405,0.0003670029,0.0001065831,0.003459468,0.0016292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001852505,0.0002116854,0.9455881,0.00003217149,0.00002627216,0.00003804878,0.01538436,0.0002909312,0.0008259867,0.0006260415,0.003597257,0.03319393],"study_design_scores_gemma":[0.000004620118,0.00004654439,0.9849203,0.00003533732,0.00001023479,0.00001501472,0.01168608,0.0008614085,0.0001312197,0.0001033363,0.002159343,0.00002650543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962834,0.0000909759,0.0003526072,0.000221918,0.00001061904,0.00006432279,0.001067486,0.000008190689,0.00190065],"genre_scores_gemma":[0.9953544,0.0001735262,0.0005313238,0.00006069543,0.000005064332,0.00005452026,0.001570692,0.00000771296,0.002242074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05064857,"threshold_uncertainty_score":0.1018937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083026414676508,"score_gpt":0.355473927570693,"score_spread":0.3246436634239279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}